Aiming at the problems of long time-consuming and low accuracy of UAV route planning from start to end in the current algorithm, a UAV route planning algorithm based on conflict resolution mechanism is proposed. Determine the constraints and avoidance conditions of UAV turning angle, calculate the UAV navigation node distance, introduce the conflict resolution mechanism, plan the UAV multi route trajectory, smooth the UAV route, and realize the UAV route planning. The experimental results show that when the proposed algorithm is applied to the actual UAV route planning, it can shorten the UAV flight time, ensure the equal time consumption of each flight, and improve the UAV flight efficiency and route planning accuracy on the premise of ensuring that the UAV is not affected by each threat point.
With the improvement of the integration of digital circuit chips, its complex structure makes the failure model and failure mechanism more and more complicated, which brings more challenges to the fault detection and prediction of digital circuits. This paper analyzes the failure prediction methods of different data collection sources, divides the prediction methods into four categories, and introduces the failure prediction methods for different data collection. This paper introduces the BIC-based model ranking flow chart. The forecasting techniques based on the Autoregressive Moving Average (ARMA) model are highlighted. The 550 simulation results show that the ARMA model is in good agreement with the measured results.
Unmanned Aerial Vehicle (UAV) swarm surveillance has many advantages: flexible deployment, no casualties, high swarm survival rate, and high cost-effectiveness. It has become a force that we cannot ignore on the battlefield. As the key technology to ensure the survival rate of UAV swarms and improve detection efficiency, mission planning technology is the basis for realizing the autonomous detection of UAV swarms in the future. This paper introduces the method of UAV distributed mission planning. The mainstream UAV planning methods are discussed. We focus on the improved artificial potential field (IAPF) approach. The modeling method of discrete rasterization of task space is adopted in complex scenes of multiple target types. Compared with the simulation results of hybrid artificial potential field and ant colony optimization (HAPF-ACO), the superiority of the proposed method in search performance is verified.
KEYWORDS: Data fusion, Resistance, Failure analysis, Data processing, Sensors, Field programmable gate arrays, Reliability, Digital electronics, Capacitance, Analog electronics
This paper summarizes and analyzes the typical architecture and evolution of fault prediction and health management technology. We introduce and analyze fault detection, fault diagnosis, and fault prediction functions to explore the architecture of fault prediction and health management systems. This experiment studies the fault prediction method based on solder joint-built in self-test (SJ-BIST). According to the actual monitoring circuit experiments, we adjusted the temperature of the circuit board to 50℃, 100℃, and 150℃ for the circuit board heating treatment for 10 seconds, verified the effectiveness of the SJ-BIST method, and are in line with the law of linear change. The slope of the fitted curve is consistent with the analysis result.
Due to the inaccurate flight path prediction of traditional methods, the ability of aircraft route conflict resolution is poor. Through the four-dimensional track operation, the accurate track prediction algorithm is proposed, and then the constraints of track operation are set. According to the aircraft wake interval standard, the aircraft interval points and protection areas are established. The centralized method is used to optimize the aircraft track path, and the aircraft conflict resolution method based on the four-dimensional track operation is completed. In the experiment, conflict flight routes are set for five aircraft in the form of simulation. The results show that the method in this paper can effectively resolve the route conflict for five aircraft, while the traditional probability graph method has multiple route conflicts. It is concluded that the method in this paper has better conflict resolution ability for multiple aircraft routes than the traditional method.
The proposal of the free flight mode has brought tremendous pressure to air traffic safety and put forward higher requirements on the technology of flight conflict resolution. The traditional velocity obstacle model is dedicated to solving potential flight conflicts on air routes. Therefore, this paper puts forward a three-dimensional heading release algorithm based on the ORCA. Based on the ellipsoidal flight protection area, we select the current position, velocity vector and heading of the aircraft as the feature variables. Firstly, qualitatively judge the conflict state, and then perform geometric derivation based on the speed obstacle method, and establish a conflict resolution model based on the minimum heading. The simulation results show that, without considering other conditions, this algorithm can effectively detect and resolve potential flight conflicts between two aircraft in three-dimensional space by adjusting the course.
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